Early Impact of the State Innovation Models Initiative on Diagnosed Diabetes Prevalence Among Adults and Hospitalizations Among Diagnosed Adults
The objective of this study was to examine the association of early SIM implementation and diagnosed diabetes prevalence among adults and hospitalization rates among diagnosed adults. Research Design: Quasi-experimental design compares diagnosed diabetes prevalence and hospitalization rates before SIM (2010–2013) and during early implementation (2014) in 6 SIM states versus 6 comparison states. County-level, difference-in-differences regression models were estimated. Subjects: The annual average of 4.5 million adults aged 20+ diagnosed with diabetes with 1.4 million hospitalizations in 583 counties across 12 states. Measures: Diagnosed diabetes prevalence among adults and hospitalization rates per 1000 diagnosed adults. Results: Compared with the pre-SIM period, diagnosed diabetes prevalence increased in SIM counties by 0.65 percentage points (from 10.22% to 10.87%) versus only 0.10 percentage points (from 9.64% to 9.74%) in comparison counties, a difference-in-differences of 0.55 percentage points. The difference-in-differences regression estimates ranged from 0.49 to 0.53 percentage points (P
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Many patients with type 2 diabetes are overtreated, leading to more than 9000 preventable hospital visits over 2 years, a modeling study found.Medscape Medical News
ConclusionThese findings suggested that C. inerme leaves have potent antidiabetic and anti-oxidant activities. The results provide reliable scientific base, which is the premise for further research and development of CILE as supplements.
Phys. Chem. Chem. Phys., 2019, Accepted Manuscript DOI: 10.1039/C9CP03238J, PaperSuparna Khatun, Anurag Singh, Debabrata Mandal, Amreesh Chandra, Amar Nath Gupta The formation of amyloid aggregates is the hallmark of many protein misfolding diseases including Type-II Diabetes Mellitus, which is caused by the fibrillation of amylin protein. It is established that... The content of this RSS Feed (c) The Royal Society of Chemistry
ConclusionsPatients with DM are prone to the early development of CAD, and psychological factors were associated with early development of CAD. Therefore, the findings of the current study can be utilized in designing preventive and therapeutic interventions, and implementing and integrating these factors in health-promotion programs for patients with DM can be useful.
TYPE 2 diabetes requires a person to overhaul aspects of their lifestyle to stave off the risk. Fortunately, the disease can be prevented by making certain lifestyle decisions, including eating a popular food group, a study has revealed.
Discussion Bardet-Biedl syndrome (BBS) is a rare disorder. It is usually considered an autosomal recessive disorder but there is significant intra-familial variability. There are multiple genes (~20 currently) involved and it is believed that the phenotypic variability is due to “…differences in the total mutational load across different BBS associated genes….” It is a ciliopathy where mutation changes in proteins in the cilias causes problems in the cilia’s functioning particularly signaling. Cilia are important in signaling to maintain tissue and cellular homeostasis. Obviously screening o...
Publication date: Available online 17 August 2019Source: Physiology &BehaviorAuthor(s): Elizabeth Sahagun, Lauren M. Ward, Kimberly P. KinzigAbstractKetogenic diets (KDs) are high-fat, low-carbohydrate diets that have been used therapeutically for decades, most notably for the treatment of epilepsy and diabetes. Recent data, however, suggest that KD may impart protective effects on mood disorders. The current experiments test the hypothesis that KDs can protect from stress-induced symptoms of mood disorders. To test this, we assessed behavioral and neuroendocrine effects of KD in male and female Long Evans rats. Animal...
In this study, we review the possible molecular mechanisms by which GLP-1RA and DPP-4i can improve insulin resistance and increase insulin sensitivity in insulin-dependent peripheral tissues.